Comparación directa
Financial TimesvsGoogle News Wirtschaft DE
Financial Times (37.4% de precisión) vs Google News Wirtschaft DE (26.4% de precisión) — comparación detallada de la fiabilidad de pronósticos de mercado.
Financial Times es más precisa en general
Basado en 503 y 242 pronósticos evaluados respectivamente
Precisión
37.4%vs26.4%
Pronósticos Evaluados
503vs242
Artículos Analizados
0vs0
Relevancia Promedio
-vs-
Análisis de sentimiento y sesgo
Qué tan alcistas o bajistas tienden a ser los pronósticos de cada fuente.
Distribución de sentimiento
Financial Times
Sentimiento promedio: 0.31
Alcista 64%Neutral 5%Bajista 32%
Google News Wirtschaft DE
Sentimiento promedio: 0.04
Alcista 50%Neutral 10%Bajista 41%
Precisión en mercados compartidos
Comparación de precisión lado a lado para mercados que cubren tanto Financial Times como Google News Wirtschaft DE.
Precisión por contexto de mercado
Precisión a lo largo del tiempo
Tendencia de precisión de 90 días para ambas fuentes superpuesta en el mismo gráfico.
Tendencia de precisión de 90 días
Cobertura de contextos de mercado
| Precisión por Mercado | Financial Times | Google News Wirtschaft DE |
|---|---|---|
| Asia markets | 1 (0%) | — |
| Asian Stocks | — | 1 (0%) |
| Asian equities | 2 (0%) | — |
| Asian markets | 2 (0%) | 5 (1%) |
| Asian stocks | 2 (0%) | 11 (3%) |
| Australia | 1 (0%) | — |
| Bitcoin | 12 (2%) | — |
| China | 1 (0%) | — |
| China stocks | 1 (0%) | — |
| DAX | 9 (2%) | — |
| Euro Bonds | 1 (0%) | — |
| European stocks | 1 (0%) | — |
| India | 1 (0%) | — |
| India's banking sector | 1 (0%) | — |
| India's economic growth | 1 (0%) | — |
| India's economy | 1 (0%) | — |
| India's export market | 1 (0%) | — |
| Japan equities | 1 (0%) | — |
| Japan stocks | — | 5 (1%) |
| Oil | 1 (0%) | — |
| Sterling | — | 1 (0%) |
| Thailand's manufacturing and investment appeal | 1 (0%) | — |
| UK markets | 1 (0%) | — |
| USA | 106 (19%) | 56 (15%) |
| credit markets | 1 (0%) | — |
| cryptocurrencies (Crypto) | 3 (1%) | — |
| emerging markets | 5 (1%) | — |
| emerging-market assets | 1 (0%) | — |
| emerging-market currencies and stocks | 1 (0%) | — |
| emerging-market stocks | 1 (0%) | — |
| energy ETFs | 1 (0%) | — |
| global markets | 75 (14%) | 212 (57%) |
| other | 5 (1%) | — |
| other (AI investment) | 1 (0%) | — |
| other (ASX Ltd.) | 2 (0%) | — |
| other (Adidas AG) | 1 (0%) | — |
| other (African dollar bonds) | 1 (0%) | — |
| other (Allianz) | 1 (0%) | — |
| other (Asian equities) | 1 (0%) | — |
| other (Asian junk bonds) | 1 (0%) | — |
| other (AstraZeneca) | 1 (0%) | — |
| other (Australia corporate earnings) | 1 (0%) | — |
| other (Australian dollar) | 2 (0%) | — |
| other (Australian stocks) | 1 (0%) | — |
| other (Bank of England interest rate expectations) | 1 (0%) | — |
| other (Beiersdorf AG) | 1 (0%) | — |
| other (Blue Owl Capital Inc.) | 1 (0%) | — |
| other (Brightline bonds) | 1 (0%) | — |
| other (British Airways/IAG SA) | 1 (0%) | — |
| other (British pound) | 1 (0%) | — |
| other (Canadian energy stocks) | 1 (0%) | — |
| other (Chile's monetary policy and economic outlook) | 1 (0%) | — |
| other (China stocks) | 1 (0%) | — |
| other (China's electric-vehicle sector) | 1 (0%) | — |
| other (Chinese AI stocks) | 1 (0%) | — |
| other (Chinese Tech Stocks) | 1 (0%) | — |
| other (Chinese Yuan) | 1 (0%) | — |
| other (Chinese assets) | 1 (0%) | — |
| other (Chinese consumer stocks) | 1 (0%) | — |
| other (Chinese equities) | 1 (0%) | — |
| other (Chinese government bonds) | 1 (0%) | — |
| other (Chinese stocks) | 2 (0%) | — |
| other (Citigroup Inc.) | 1 (0%) | — |
| other (Copper market) | 1 (0%) | — |
| other (Czech monetary policy) | 2 (0%) | — |
| other (Delta Electronics Thailand Pcl) | 1 (0%) | — |
| other (Dubai stocks) | 1 (0%) | — |
| other (Egyptian stock market) | 1 (0%) | — |
| other (Eli Lilly & Co. sales forecast) | 1 (0%) | — |
| other (Emerging Markets) | 1 (0%) | — |
| other (Emerging-market stocks) | 1 (0%) | — |
| other (Europe's economy) | 1 (0%) | — |
| other (European and Japanese stocks) | 1 (0%) | — |
| other (European banks) | 1 (0%) | — |
| other (European junk-rated retail bonds) | 1 (0%) | — |
| other (European natural gas market) | 1 (0%) | — |
| other (European oil and gas stocks) | 1 (0%) | — |
| other (European stocks) | 1 (0%) | — |
| other (FTSE 100) | 2 (0%) | — |
| other (Ferrari NV) | 2 (0%) | — |
| other (Finnish pension funds' stock holdings) | 1 (0%) | — |
| other (France's economy) | 1 (0%) | — |
| other (Generac's market) | 1 (0%) | — |
| other (German Economy) | 1 (0%) | — |
| other (Global Weight-Loss Drug Market) | 1 (0%) | — |
| other (Gold market) | 5 (1%) | — |
| other (Gold) | 1 (0%) | — |
| other (Hong Kong economy) | 1 (0%) | — |
| other (Hong Kong luxury home market) | 1 (0%) | — |
| other (Hong Kong property market) | 1 (0%) | — |
| other (India stock market) | 2 (0%) | — |
| other (India's M&A market) | 1 (0%) | — |
| other (India's benchmark stock index) | 1 (0%) | — |
| other (India's economic growth prospects) | 1 (0%) | — |
| other (India's real estate market) | 1 (0%) | — |
| other (India's stock market) | 2 (0%) | — |
| other (Indian IT stocks) | 1 (0%) | — |
| other (Indian Rupee and foreign-exchange reserves) | 1 (0%) | — |
| other (Indian bonds) | 2 (0%) | — |
| other (Indian domestic shares) | 1 (0%) | — |
| other (Indian equities) | 1 (0%) | — |
| other (Indian imports of Russian oil) | 1 (0%) | — |
| other (Indian shares) | 1 (0%) | — |
| other (Indian small caps) | 1 (0%) | — |
| other (Indian stock market) | 1 (0%) | — |
| other (Indian stocks and Rupee) | 1 (0%) | — |
| other (Indian stocks) | 2 (0%) | — |
| other (Indonesia market) | 1 (0%) | — |
| other (Indonesia's sovereign credit profile) | 1 (0%) | — |
| other (Indonesian bonds) | 1 (0%) | — |
| other (Indonesian corporates) | 2 (0%) | — |
| other (Indonesian markets) | 1 (0%) | — |
| other (Indonesian stocks) | 1 (0%) | — |
| other (Intercontinental Hotels Group) | 1 (0%) | — |
| other (Japan bond market) | 1 (0%) | — |
| other (Japan's stock market) | 4 (1%) | — |
| other (Japanese Yen) | 2 (0%) | — |
| other (Japanese assets) | 1 (0%) | — |
| other (Japanese bonds) | 1 (0%) | — |
| other (Japanese debt market) | 2 (0%) | — |
| other (Japanese equities) | 1 (0%) | — |
| other (Japanese government bonds) | 5 (1%) | — |
| other (Japanese stock market) | 1 (0%) | — |
| other (Japanese stocks) | 7 (1%) | — |
| other (Japanese yen) | 2 (0%) | — |
| other (Malaysian ringgit) | 2 (0%) | — |
| other (Mattel Inc.) | 1 (0%) | — |
| other (MongoDB) | 1 (0%) | — |
| other (Nestlé SA) | 1 (0%) | — |
| other (Netflix) | 1 (0%) | — |
| other (North Sea crude market) | 1 (0%) | — |
| other (Novo Nordisk A/S shares) | 1 (0%) | — |
| other (Oil and metals markets) | 1 (0%) | — |
| other (Oil market) | 2 (0%) | — |
| other (Omani stocks) | 2 (0%) | — |
| other (Palm Oil) | 2 (0%) | — |
| other (Panasonic Holdings Corp.) | 3 (1%) | — |
| other (Peru's economy) | 1 (0%) | — |
| other (Philippine Peso) | 1 (0%) | — |
| other (Philippine peso bonds) | 1 (0%) | — |
| other (RELX Plc) | 2 (0%) | — |
| other (Rheinmetall sales growth in defense sector) | — | 5 (1%) |
| other (Rolls-Royce Holdings Plc) | 2 (0%) | — |
| other (Saudi Arabian equities) | 1 (0%) | — |
| other (Silver market) | 2 (0%) | — |
| other (Singapore local stocks) | 1 (0%) | — |
| other (South Africa's rand) | 1 (0%) | — |
| other (South African Rand) | 2 (0%) | — |
| other (South African bonds) | 1 (0%) | — |
| other (South African equity sectors) | 1 (0%) | — |
| other (South African government bonds) | 1 (0%) | — |
| other (South African stocks) | 1 (0%) | — |
| other (South Korea's equity benchmark) | 1 (0%) | — |
| other (South Korean bond market) | 2 (0%) | — |
| other (South Korean equities) | 2 (0%) | — |
| other (South Korean stocks) | 2 (0%) | — |
| other (Soybean market) | 1 (0%) | — |
| other (Soybeans market) | 1 (0%) | — |
| other (Suzano SA shares) | 1 (0%) | — |
| other (Swiss Bond Market) | 1 (0%) | — |
| other (Taiwan stocks) | 1 (0%) | — |
| other (Thailand's stock market and currency) | 1 (0%) | — |
| other (Toronto housing market) | 1 (0%) | — |
| other (Treasury market) | 1 (0%) | — |
| other (Turkey's economic outlook) | 1 (0%) | — |
| other (Turkish bank stocks) | 1 (0%) | — |
| other (UK Stocks) | 1 (0%) | — |
| other (UK bond market) | 2 (0%) | — |
| other (UK bonds) | 2 (0%) | — |
| other (UK construction industry) | 1 (0%) | — |
| other (UK economy) | 1 (0%) | — |
| other (UK housing market) | 1 (0%) | — |
| other (UK market) | 2 (0%) | — |
| other (UK markets) | 3 (1%) | — |
| other (UK property market) | 1 (0%) | — |
| other (US Dollar) | 8 (1%) | — |
| other (US Natural Gas) | 2 (0%) | — |
| other (US energy storage market) | 1 (0%) | — |
| other (US oil market) | 4 (1%) | — |
| other (US soybean futures) | 1 (0%) | — |
| other (US soybean oil market) | 2 (0%) | — |
| other (United Arab Emirates banks) | 1 (0%) | — |
| other (Venezuelan economy) | 1 (0%) | — |
| other (Venezuelan global bonds) | 1 (0%) | — |
| other (Walmart's earnings forecast) | 1 (0%) | — |
| other (Yen currency market) | 1 (0%) | — |
| other (Yuan currency market) | 3 (1%) | — |
| other (Yuan vs Indian Rupee) | 1 (0%) | — |
| other (agriculture economy) | 4 (1%) | — |
| other (agriculture machinery market) | 1 (0%) | — |
| other (airline industry) | — | 3 (1%) |
| other (bond markets) | 1 (0%) | — |
| other (carbon credits market) | 1 (0%) | — |
| other (companies in the physical world like miners, power producers, and industrial firms) | 1 (0%) | — |
| other (copper market) | 4 (1%) | — |
| other (corporate loans market) | — | 6 (2%) |
| other (credit markets around software) | 1 (0%) | — |
| other (credit markets) | 2 (0%) | — |
| other (currency market) | 1 (0%) | — |
| other (electric-vehicle market) | 1 (0%) | — |
| other (emerging markets) | 1 (0%) | — |
| other (emerging-market ETFs) | 1 (0%) | — |
| other (emerging-market debt) | 1 (0%) | — |
| other (emerging-market equities and currencies) | 1 (0%) | — |
| other (emerging-market equities) | 1 (0%) | — |
| other (emerging-market stocks) | 1 (0%) | — |
| other (global Brent oil market) | 1 (0%) | — |
| other (global smartphone market) | 1 (0%) | — |
| other (gold market) | 1 (0%) | — |
| other (high quality large cap stocks) | 1 (0%) | — |
| other (local debt markets in Mexico) | 1 (0%) | — |
| other (memory chip market) | 2 (0%) | — |
| other (municipal bonds) | 2 (0%) | — |
| other (oil and metals markets) | 1 (0%) | — |
| other (oil market) | 6 (1%) | — |
| other (oil prices) | — | 10 (3%) |
| other (oil-company stocks) | 1 (0%) | — |
| other (precious metals) | 1 (0%) | — |
| other (private credit firms) | 1 (0%) | — |
| other (private credit markets) | 1 (0%) | — |
| other (private credit stocks) | 1 (0%) | — |
| other (private debt market) | 1 (0%) | 1 (0%) |
| other (private markets) | 1 (0%) | — |
| other (real estate sector in India) | 1 (0%) | — |
| other (smartphone market) | 1 (0%) | — |
| other (soybean oil market) | 3 (1%) | — |
| other (sugar market) | 1 (0%) | — |
| other (trucking market) | 1 (0%) | — |
| technology stocks (Tech) | 44 (8%) | 58 (16%) |
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Métricas de Precisión
Ve cómo funcionan nuestros pronósticos
Preguntas Frecuentes
¿Qué es más fiable: Financial Times o Google News Wirtschaft DE?▼
Según nuestro análisis, Financial Times tiene mayor precisión de pronósticos (37.4%) en comparación con Google News Wirtschaft DE (26.4%). Sin embargo, la precisión puede variar según el contexto de mercado.
¿Cómo se calculan estas comparaciones?▼
Extraemos pronósticos de mercado de artículos de noticias usando IA y luego evaluamos cada predicción contra datos reales del mercado. Las fuentes se comparan por precisión general, distribución de sentimiento y rendimiento por contexto de mercado.
¿Qué mercados cubren en común Financial Times y Google News Wirtschaft DE?▼
Comparten 4 contextos de mercado: Asian markets, USA, global markets, technology stocks (Tech). Cada fuente también puede cubrir mercados adicionales de forma independiente.
Nuestra Metodología
Usamos IA para extraer pronósticos de mercado de artículos de noticias y luego evaluamos cada predicción contra datos reales del mercado usando yfinance. Solo las fuentes con más de 3 pronósticos evaluados son clasificadas.